CANDISC Procedure

The CANDISC procedure performs a canonical discriminant analysis, computes squared Mahalanobis distances between class means,
and performs both univariate and multivariate one-way analyses of variance.
The procedure enables you to do the following:

display both standardized and unstandardized canonical coefficients

display correlations between the canonical variables and the original variables as well as the class means for the canonical variables

test the hypothesis that each canonical correlation and all smaller canonical correlations are zero in the population

create a data set that contains the canonical coefficients

create a data set that contains scored canonical variables

create a data set that corresponds to any output table

perform BY group processing, which enables you to obtain separate analyses on grouped observations

perform weighted analysis

For further details see the SAS/STAT User's Guide: The CANDISC Procedure
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